Role Description We are looking for a Staff Software Engineer to be a technical leader and a "finder" of opportunities across our engineering organization. At VTEX, a Staff Engineer doesn’t just solve complex problems; they anticipate them. - Solve ambiguous problems involving multiple systems within a vertical domain. - Ensure architectural consistency and scalability for our global platform. - Shape the technical direction, define engineering patterns, and create a long-term technical vision that aligns with business objectives. - Lead cross-team design reviews and unblock strategic initiatives through influence and expert guidance. Qualifications - The "Finder" Mindset: Proven track record of finding opportunities, anticipating hidden technical risks, and proactively preventing problems from design to production. - System-wide Architect: Extensive experience building backend systems for large-scale applications and comfortable designing scalable solutions that involve complex, multi-system dependencies. - Technical Visionary: Ability to translate business goals into a clear technical vision and define the "golden paths" and engineering practices that other teams will follow. - Multiplier of Talent: Strong delegator who knows how to scale execution by empowering others, with experience mentoring multiple engineers and influencing decision-making across several teams. - Language Agnostic: Proficient in multiple programming languages, with C# as the primary language. - Strategic Communicator: Effective communication of complex technical concepts to both technical and non-technical audiences in English and Portuguese. - Curious & Hands-on: Stay up to date with market trends and intentionally use AI, LLMs, and automation to boost team productivity and code quality. Benefits - Annual profit-sharing program and equity eligibility. - Health, dental, and life insurance with national coverage provided by VTEX. - Annual budget for professional development in Tech. - Language development incentive program (English, Spanish, Portuguese). - Flexible meal allowance. - Extended parental leaves. - Child-care assistance. - Flexible work schedule and remote-first culture. - Financial assistance to build your work-from-home setup. - Wellness program. - Free shipping on 1000+ VTEX stores.

We are seeking a highly analytical and experienced Senior Data Engineer to help optimize production forecasting and operations scheduling within the petroleum engineering domain. You’ll bridge the gap between complex mathematical models (reservoir dynamics, optimization, logistics) and robust, cloud-scale data systems. This role requires a unique combination of deep Python expertise, mastery of modern data processing and API frameworks, and a strong foundational understanding of mathematics, reasoning, and petroleum engineering principles. Responsibilities Data Architecture & Engineering - Design, build, and maintain scalable data pipelines for ingesting, transforming, and validating time-series data related to well performance, sensor readings, and operational logs. - Develop robust, high-performance data models using PyArrow and Pandas for efficient analysis and transfer. - Implement data quality and schema validation using Pydantic to ensure data integrity across all stages of the pipeline. - Manage and optimize data storage and retrieval in MongoDB, and integrate with cloud-native platforms like GCP BigQuery or Snowflake where applicable. API & Application Development - Build, deploy, and maintain high-performance asynchronous microservices and prototypes using FastAPI or Flask to serve complex optimization and scheduling model predictions. - Use Postman for testing, documenting, and automating API workflows. - Containerize and orchestrate applications using Docker and manage deployment on Google Cloud Platform (GCP). Quantitative Analysis & Optimization - Collaborate with reservoir and operations teams to translate complex scheduling and logistics problems into mathematical models (e.g., linear programming, resource allocation). - Implement numerical routines and simulations efficiently using NumPy for use in production environments. - Apply strong logical and analytical reasoning to debug, validate, and interpret the outputs of operational scheduling algorithms. Requirements - Education: Bachelor’s or Master’s degree in Petroleum Engineering, Computer Science, Mathematics, Operations Research, or related quantitative field, or equivalent experience. - Quantitative Strength: Proven ability to work with mathematical modeling, optimization, and time-series analysis, including: o Linear and Mixed-Integer Programming o Probability and Statistics o Algorithmic Complexity and Performance Reasoning - Collaborative mindset — experience working closely with data scientists, product owners, and domain experts to deliver production-ready systems. Preferred Qualifications - Domain Expertise: Solid understanding of well operations, drilling logistics, production data, and scheduling workflows. - Experience working with large-scale or streaming datasets. - Experience with mathematical modeling and optimization libraries (SciPy, PuLP, OR-Tools). - Experience setting up CI/CD pipelines and container deployments on GCP.

We’re hiring a Senior Software Engineer to join our Platform Team. You’ll help design and build the core services, internal APIs, and data workflows that power ComboCurve’s products. This role is ideal for someone who loves writing modern Python, caring about architecture and testability, and building platform capabilities that make the rest of engineering faster and more reliable. What You’ll Do - Build and maintain robust platform services and internal tooling primarily in Python. - Design clean, well-typed interfaces and services that scale with growing data volumes and product needs. - Develop and own internal APIs that other teams depend on, with strong contracts and documentation. - Create high-performance data processing paths inside services to support analytics and ingestion workloads. - Deploy and operate Python services on GCP using serverless and managed platforms. - Improve CI/CD pipelines, testing practices, and developer experience across the platform. - Partner closely with product engineers, data engineers, and leadership to shape platform direction. - Write ADRs, architecture diagrams, and technical documentation that scale decision-making. - Mentor other engineers through code reviews, pairing, and pragmatic standards-setting. Requirements - Advanced Python Proficiency: Deep expertise in Python 3.13+, specifically utilizing type annotations, async/await patterns, and modern language features to build robust platform services. - Modern Dependency Management: Hands-on experience with uv for fast package management (or similar), dependency resolution, and virtual environment handling. - Software Architecture Patterns: Strong adherence to SOLID principles and clean architecture; ability to design decoupled, maintainable systems that scale. - API Design & Development: Experience designing internal APIs using REST or gRPC, including defining clear, standard contracts using OpenAPI specifications. - High-Performance Data Processing: Experience using polars, PyArrow, or Apache Iceberg for efficient large-scale data manipulation and processing within application logic. - Data Warehouse Integration: Experience connecting Python applications to modern data platforms like Snowflake or Databricks for data ingestion and retrieval. - Google Cloud Platform: Proven track record deploying and managing services on GCP, specifically using Cloud Run, Cloud Functions, and Google Cloud Storage. - CI/CD: Ability to design and maintain pipelines for automated testing, linting, and cloud deployment; experience with GitHub Actions is strongly preferred. - Automated Testing Strategy: Extensive experience writing comprehensive test suites using pytest, including the use of fixtures, parameterization, and mocking external services. - Technical Leadership: Ability to mentor team members through code reviews, ADRs and architecture diagrams. - AI Agent Frameworks Experience: building or integrating with AI agent frameworks and LLM orchestration tools to enhance platform automation and capabilities. - Shell Scripting: Competency in Bash scripting for automating local developer tasks, build processes, or operational utility scripts. - Version Control Mastery: Deep understanding of Git, including branching strategies, conflict resolution, and maintaining a clean commit history. - Containerization: Proficiency in Docker and Docker Compose for creating consistent local development environments and production-ready images. - Static Analysis Configuration: Familiarity with enforcing code quality standards using ruff for linting and pyright for strict static type checking.

• Lead a team of developers in designing, building, and maintaining scalable applications using .NET and Angular. • Architect and implement robust backend solutions and RESTful APIs. • Oversee the development of engaging and responsive front-end user interfaces. • Collaborate with product owners to gather requirements and define project scopes. • Conduct code reviews to maintain high standards of code quality and best practices. • Provide technical guidance and mentorship to team members. • Identify areas for improvement and drive the adoption of new technologies and methodologies. • Ensure timely delivery of projects while managing resources and expectations effectively.